Dynamic positron emission tomography image reconstruction using spatiotemporal kernel method with deep image prior

By leveraging intrinsic spatiotemporal information, the proposed method improves dynamic PET reconstruction accuracy without external priors. Its modular design enables seamless integration into existing workflows and adapts to diverse PET acquisition protocols. These results underscore its potential for clinical and preclinical dynamic PET imaging, particularly for low-dose or high-resolution scenarios.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-11-25
DOI
https://doi.org/10.21037/qims-2025-1018
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
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Dynamic positron emission tomography image reconstruction using spatiotemporal kernel method with deep image prior

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Dynamic positron emission tomography image reconstruction using spatiotemporal kernel method with deep image prior

Dong Liang, Qiyu Peng, Haoyu Zou, Zhijun Zhao, Han Liu, Zhiwen Fang
article en

Abstract

By leveraging intrinsic spatiotemporal information, the proposed method improves dynamic PET reconstruction accuracy without external priors. Its modular design enables seamless integration into existing workflows and adapts to diverse PET acquisition protocols. These results underscore its potential for clinical and preclinical dynamic PET imaging, particularly for low-dose or high-resolution scenarios.

Quantitative Imaging in Medicine and SurgeryVol. 15(12)
Shenzhen Bay Laboratory (CN), Southern Medical University (CN)
Openalex Percentile: Top 49%
Medical Imaging Techniques and Applications
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